Genetic gain via REML/BLUP and selection indices in snap bean

Detalhes bibliográficos
Autor(a) principal: Gomes,Andréa BS
Data de Publicação: 2018
Outros Autores: Oliveira,Tâmara RA, Cruz,Derivaldo P, Gravina,Geraldo A, Daher,Rogério F, Araújo,Lanusse C, Araújo,Kléberson C
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Horticultura Brasileira
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362018000200195
Resumo: ABSTRACT The aim of this study was to compare four selection indexes and REML/BLUP methodology in the evaluation of predicted genetic gains of traits of interest in snap bean breeding program. We evaluated 17 selected lines, in a randomized complete block design, with four replicates, in four environments, Bom Jesus de Itapaboana-RJ, in 2011 and 2012 and Cambuci-RJ, in 2011 and 2013. The evaluated traits were pod and grain productivity, number of pods per plant, number of seeds per pod and weight of 100 seeds. For gain prediction, the employed selection indexes were Pesek & Baker, Smith & Hazel, Mulamba & Mock, Williams and REML/BLUP methodology. Among the tested selection indexes, Mulamba & Mock was the one which showed the best gain distribution considering the tested variables, such as the higher coincidence coefficients in comparison to REML/BLUP, resulting in 62% of grain productivity and pod productivity per plant. The REML/BLUP methodology permitted to select lines with high relative performances and obtained simultaneous gains for the evaluated traits, being superior in relation to the tested selection indexes for snap bean crop.
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spelling Genetic gain via REML/BLUP and selection indices in snap beanPhaseolus vulgarissimultaneous selectionmixed modelsABSTRACT The aim of this study was to compare four selection indexes and REML/BLUP methodology in the evaluation of predicted genetic gains of traits of interest in snap bean breeding program. We evaluated 17 selected lines, in a randomized complete block design, with four replicates, in four environments, Bom Jesus de Itapaboana-RJ, in 2011 and 2012 and Cambuci-RJ, in 2011 and 2013. The evaluated traits were pod and grain productivity, number of pods per plant, number of seeds per pod and weight of 100 seeds. For gain prediction, the employed selection indexes were Pesek & Baker, Smith & Hazel, Mulamba & Mock, Williams and REML/BLUP methodology. Among the tested selection indexes, Mulamba & Mock was the one which showed the best gain distribution considering the tested variables, such as the higher coincidence coefficients in comparison to REML/BLUP, resulting in 62% of grain productivity and pod productivity per plant. The REML/BLUP methodology permitted to select lines with high relative performances and obtained simultaneous gains for the evaluated traits, being superior in relation to the tested selection indexes for snap bean crop.Associação Brasileira de Horticultura2018-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362018000200195Horticultura Brasileira v.36 n.2 2018reponame:Horticultura Brasileirainstname:Associação Brasileira de Horticultura (ABH)instacron:ABH10.1590/s0102-053620180208info:eu-repo/semantics/openAccessGomes,Andréa BSOliveira,Tâmara RACruz,Derivaldo PGravina,Geraldo ADaher,Rogério FAraújo,Lanusse CAraújo,Kléberson Ceng2018-10-09T00:00:00Zoai:scielo:S0102-05362018000200195Revistahttp://cms.horticulturabrasileira.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||hortbras@gmail.com1806-99910102-0536opendoar:2018-10-09T00:00Horticultura Brasileira - Associação Brasileira de Horticultura (ABH)false
dc.title.none.fl_str_mv Genetic gain via REML/BLUP and selection indices in snap bean
title Genetic gain via REML/BLUP and selection indices in snap bean
spellingShingle Genetic gain via REML/BLUP and selection indices in snap bean
Gomes,Andréa BS
Phaseolus vulgaris
simultaneous selection
mixed models
title_short Genetic gain via REML/BLUP and selection indices in snap bean
title_full Genetic gain via REML/BLUP and selection indices in snap bean
title_fullStr Genetic gain via REML/BLUP and selection indices in snap bean
title_full_unstemmed Genetic gain via REML/BLUP and selection indices in snap bean
title_sort Genetic gain via REML/BLUP and selection indices in snap bean
author Gomes,Andréa BS
author_facet Gomes,Andréa BS
Oliveira,Tâmara RA
Cruz,Derivaldo P
Gravina,Geraldo A
Daher,Rogério F
Araújo,Lanusse C
Araújo,Kléberson C
author_role author
author2 Oliveira,Tâmara RA
Cruz,Derivaldo P
Gravina,Geraldo A
Daher,Rogério F
Araújo,Lanusse C
Araújo,Kléberson C
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Gomes,Andréa BS
Oliveira,Tâmara RA
Cruz,Derivaldo P
Gravina,Geraldo A
Daher,Rogério F
Araújo,Lanusse C
Araújo,Kléberson C
dc.subject.por.fl_str_mv Phaseolus vulgaris
simultaneous selection
mixed models
topic Phaseolus vulgaris
simultaneous selection
mixed models
description ABSTRACT The aim of this study was to compare four selection indexes and REML/BLUP methodology in the evaluation of predicted genetic gains of traits of interest in snap bean breeding program. We evaluated 17 selected lines, in a randomized complete block design, with four replicates, in four environments, Bom Jesus de Itapaboana-RJ, in 2011 and 2012 and Cambuci-RJ, in 2011 and 2013. The evaluated traits were pod and grain productivity, number of pods per plant, number of seeds per pod and weight of 100 seeds. For gain prediction, the employed selection indexes were Pesek & Baker, Smith & Hazel, Mulamba & Mock, Williams and REML/BLUP methodology. Among the tested selection indexes, Mulamba & Mock was the one which showed the best gain distribution considering the tested variables, such as the higher coincidence coefficients in comparison to REML/BLUP, resulting in 62% of grain productivity and pod productivity per plant. The REML/BLUP methodology permitted to select lines with high relative performances and obtained simultaneous gains for the evaluated traits, being superior in relation to the tested selection indexes for snap bean crop.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362018000200195
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362018000200195
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/s0102-053620180208
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Horticultura
publisher.none.fl_str_mv Associação Brasileira de Horticultura
dc.source.none.fl_str_mv Horticultura Brasileira v.36 n.2 2018
reponame:Horticultura Brasileira
instname:Associação Brasileira de Horticultura (ABH)
instacron:ABH
instname_str Associação Brasileira de Horticultura (ABH)
instacron_str ABH
institution ABH
reponame_str Horticultura Brasileira
collection Horticultura Brasileira
repository.name.fl_str_mv Horticultura Brasileira - Associação Brasileira de Horticultura (ABH)
repository.mail.fl_str_mv ||hortbras@gmail.com
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